AI Architect - Internal Business Applications

Responsibilities

• Define and maintain the architectural vision, principles, standards, and governance framework for AI-first capabilities, including intelligent automation, large language model (LLM) orchestration, agentic workflows, and enterprise integrations.
• Develop reference architectures for AI runtimes, model serving, security controls, identity management, policy enforcement, and secure enterprise data access.
• Establish non-functional requirements, including reliability, performance, scalability, cost optimization, and compliance standards, while defining service-level objectives and validation methodologies.
• Translate business and operational requirements from Finance, Human Resources, Operations, Customer Success, and other functions into scalable AI solution architectures and implementation strategies.
• Design and implement secure, compliant intelligent automation and decision-support solutions, including document processing, data extraction, workflow automation, and business process optimization.
• Establish enterprise data integration strategies, governance practices, and data quality standards that support AI readiness across ERP, CRM, HCM, financial, and operational platforms.
• Develop APIs, reusable services, and foundational platform capabilities that enable scalable AI adoption across business teams and technology organizations.
• Partner with business and technology stakeholders to identify high-impact AI opportunities, evaluate solution feasibility, and define implementation roadmaps.
• Contribute to MLOps and LLMOps capabilities, including pipeline standardization, model observability, monitoring, lifecycle management, and production governance.
• Lead adoption and change management efforts to support stakeholder alignment, trust, and effective utilization of AI-enabled solutions and intelligent automation capabilities.

Languages